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Hybrid Expert System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F05%3APU50474" target="_blank" >RIV/00216305:26220/05:PU50474 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hybrid Expert System

  • Original language description

    This article deals with hybrid expert system that has knowledge base realized through a hierarchical structure of artificial neural networks (NN). The decision tree is built by C4.5 algorithm at first. In the next step the nods of the tree are replaced by NN. They are trained to split the data in the same way as the nods. So the problem is separated into partial sub-problems that are solved by individual NN. At the end an expert is requested to change the structure of particular NN according to his knowwledge and experiences. Each NN solves a partial sub-problem what decreases demands upon the capability of an expert and accelerates the time needed to harmonize the knowledge base. Unlike the traditional expert system, the output of this architecture isnot classification, however we receive a list of hypotheses evaluated by certain value of the hypothesis trust.

  • Czech name

    Hybrid Expert System

  • Czech description

    This article deals with hybrid expert system that has knowledge base realized through a hierarchical structure of artificial neural networks (NN). The decision tree is built by C4.5 algorithm at first. In the next step the nods of the tree are replaced by NN. They are trained to split the data in the same way as the nods. So the problem is separated into partial sub-problems that are solved by individual NN. At the end an expert is requested to change the structure of particular NN according to his knowwledge and experiences. Each NN solves a partial sub-problem what decreases demands upon the capability of an expert and accelerates the time needed to harmonize the knowledge base. Unlike the traditional expert system, the output of this architecture isnot classification, however we receive a list of hypotheses evaluated by certain value of the hypothesis trust.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BD - Information theory

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2005

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    WSEAS Transactions on Information Science and Applications

  • ISSN

    1790-0832

  • e-ISSN

  • Volume of the periodical

    NEUVEDEN

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    GR - GREECE

  • Number of pages

    3

  • Pages from-to

    95-97

  • UT code for WoS article

  • EID of the result in the Scopus database